Overview: POSITION SUMMARY:The Field Engineer will oversee and execute the project controls and management of a multiple disciplines. The main functions of the Field Engineer will include (but not limited to) responsibility for a specific area of the project such as direct support to a Craft Superintendent, quantity collection, scheduling, contract administration, project planning and scheduling, procurement, and project reporting.Location & Travel Details: This is a traveling position, up to 75% of the time. You have the potential to be placed on a project site located in any state throughout the US. You’ll spend 8-18 months on average per project. We offer designated per diem in addition to base pay to support and help you cover living expenses. This position is eligible for mobilization support (may include mileage reimbursement), and includes one longer weekend every four weeks for additional time at home.COMPANY OVERVIEW: MasTec’s Clean Energy and Infrastructure Group (CE&I) is a $4 billion annual revenue business unit that provides construction services for industrial facilities; building products manufacturers, power generation facilities, manufacturing plants; solar, wind, and thermal energy plants; buildings, and infrastructure.Within the CE&I group, the MasTec Industrial sector includes sister companies Casey Industrial, Phoenix Industrial and Wanzek Industrial. This collective industrial group provides a merit shop, multi-craft industrial contractor with the ability to self-perform all major craft trades that ensures greater safety, quality, flexibility, and economy in delivering the work required to complete each project. The collective experience and knowledge of this team provides comprehensive project development, pre-construction planning, and project management with the mastery to successfully manage projects that meet deliverable and budgetary requirements. With every project, we commit to providing the highest levels of quality, safety, and value.At MasTec Industrial, we are committed to attracting, developing and retaining the best talent. No matter your role, you will have the opportunity to contribute to our success as we deliver innovative solutions to our clients. Responsibilities: Represent in a professional manner in all client interaction activities.Provide the client with contract required reports (weekly, monthly, schedule.)Understand and follow Corporate Safety Plan and site-specific safety plan.Perform quantity calculations by taking measurements and determining percentage of completed/installed materials and work.Develop a process for the creation and review of work plans and work packages.Provide support to ensure the site quality plan is communicated and all inspections and quality documentation is being completed on time and assembled for final turn over.Manage the compilation, processing, and customer approval of daily labor timesheets.Compile and distribute weekly the Average Labor Rate to the front-line supervision.Train craft and staff employees how to complete Job Safety Analysis (JSA’s)Participate in or lead jobsite safety reviews, toolbox meetings, mass safety meetings, and safety training.Order, schedule material deliveries and develop procurement status report.Plan, schedule, and coordinate work groups on the jobsite.Perform material takeoffs from drawings, specifications, and other contract documents.Perform basic engineering calculations and technical drafting to support field operations.Assist Engineers to gather and prepare data for submittal or transmittal to the customer, vendors, subcontractors, governmental agencies, and internal use.Prepare field issued purchase orders and subcontracts, prepare material buyout take offs from issued for construction drawings.Direct home office performed procurement and subcontract administration functions.Provide field support and supervise subcontractor operations.Manage all project recordkeeping and correspondence functions including daily reports, photographs, requests for information (RFIs), submittal, transmittal, memorandums, and other contract required correspondence.Create and closely monitor project controls such as productivity tracking including Average labor rate, indirect scheduling, equipment schedule and log, risk, and opportunity log, etc.Create and maintain master project schedule.Generate change orders and as-built data to be reviewed by the Project Manager.Drive the planning process through the master schedule, 6-week, 3-week, 1-week, and manpower curves.Administering Accounting/Job Costs/Work in Progress (WIP) Updates: Learn and Assist the Project Manager with these activities.Lead the budgeting process of taking the Estimate and converting it to the Standard Phase codes.Alert Project Manager and Home Office of trends regarding labor, material, subcontractor and equipment costs.Accurately manage the cost forecasting process for entire project (labor, materials, subcontractors, equipment.)Establish the cashflow forecast and curve to ensure positive cashflow for the project.Act as primary company representative in the absence of or as directed by Project Manager or Project Engineer.Know the provisions, terms and scope of the Prime contract.Develop and prepare Schedule of Values and all Invoices to customer.SUPERVISORY:Support a crew of up to 50 people for short periods if needed.Lead 1-2 Field Engineers.Oversee and manage a portion of the field office staff, which could include engineers, office manager, document control, schedulers, procurement, warehouse, and other support personnel on the project. Qualifications: QualificationsBachelor’s degree in engineering, construction management, or related preferred not required.Three (3) to Five (5) years’ experience as a Field Engineer or similar role.Knowledge / Skills / AbilitiesBe knowledgeable of MIC Health and Safety programs and project specific regulations.When on-site, actively participate in daily toolbox meetings with crews and subcontractors.Set a personal example of safe behavior.Ability to read, analyze and identify discrepancies on engineering plans, specifications, and contract documents.Ability to freely access all points of a construction site in wide-ranging climates and environment.Highly motivated, with a demonstrated passion for excellence and taking initiative.Strong work ethic, willing to do what it takes to get the job done right the first time.Demonstrated commitment to ethics and integrity.Passion for safety, with the ability to help us ensure that nobody gets hurt.Team player with the ability to work independently to meet deadlines, goals, and objectives.Willing to travel extensively and relocate to the next project location for an extended period (typically 6-12 months.)Other may duties may be assignedMaintain in-depth relations with all members of their team and your supervisor.PHYSICAL DEMANDS:Work up to a 12-hour shift doing hard physical work in varying temperatures and outside conditions.May need to maintain physical strength and stamina; Use arms, hands, and legs fully; Push, pull, and frequently lift and carry objects weighing up to 50 pounds; and stoop, kneel, balance, crouch, crawl, and climb to perform job tasks.Stamina to perform this task repetitively and continuously for several hour intervals.Uncontrolled environmental conditions: Constant change in weather and site conditions.This work environment may involve moderate exposure to unusual elements, such as extreme temperatures, dirt, dust, fumes, smoke, unpleasant odors and/or loud noises.Ability to wear personal protective equipment is required (including but not limited to- safety toed shoes, gloves, safety glasses, hearing protection, hardhat, vest, etc.).Move in and around confined, cluttered, and uneven areas.May need to work at heights and must be able to abide by all safety and fall-protection requirements; must be able to wear and utilize all safety equipment required for work at heights.Evaluate information based on measurable standards; and see details in objects or drawings and recognize slight differences in shapes and shadings.Visualize objects in three dimensions from drawings.Keep good balance and work at heights.See well (either naturally or with correction).Hear well (either naturally or with correction.)Coordinate the use of eyes, hands, and feet.What's in it for you:Financial WellbeingCompensation $70,000-$100,000 / year, commensurate with experienceCompetitive pay with ongoing performance review and merit increase401(k) with company match & Employee Stock Purchase Plan (ESPP)Flexible spending account (Healthcare & Dependent care)Health & WellnessMedical, Dental, and Vision insurance (plan choice) - coverage for spouse, domestic partner, and childrenDiabetes Management, Telehealth Coverage, Prescription Drug Plan, Pet InsuranceFamily & LifestylePaid Time Off, Paid Holidays, Bereavement LeaveMilitary Leave, including Differential Pay and Benefits ContinuationEmployee Assistance ProgramPlanning for the UnexpectedShort and long-term disability, life insurance, and accidental death & dismembermentVoluntary life insurance, accident, critical illness, hospital indemnity coverageEmergency Travel Assistance ProgramGroup legal planPosition may be subject to pre-employment screening, which may include background check and drug testing. Accessibility: If you need accommodation as part of the employment process, contact . Due to the high volume of applications received, we are unable to respond to individual requests regarding application status. Please log into your candidate profile for up-to-date information.MasTec, Inc. is an Equal Employment Opportunity Employer. The Company's policy is not to unlawfully discriminate against any applicant or employee on the basis of race, color, sex, sexual orientation, gender identity, religion, national origin, age, disability, genetic information, military status, or any other consideration made unlawful by applicable federal, state, or local laws. The Company also prohibits harassment of applicants and employees based on any of these protected categories. It is also MasTec's policy to comply with all applicable state, federal and local laws respecting consideration of unemployment status in making hiring decisions.Disclaimer: MasTec and our Subsidiaries will never ask prospective employees for any form of payment or money transfer as part of job application or onboarding. We do not ask prospective employees for information about credit cards or personal passwords, and it does not require applicants to purchase equipment or software. Ensure that all recruiter email addresses end in @mastec.com or @talent.icims.com. If you suspect you are the target of a scam, we advise you to contact your local law enforcement agency and report fraud at https://reportfraud.ftc.gov/.MasTec Clean Energy & Infrastructure and our subsidiaries do not work with any third-party recruiters or agencies without a valid signed agreement and partnership with the Corporate Talent Acquisition Team.#LI-AL1#LI-Onsite Appcast (For Export): #appyellow

We are seeking a highly skilled AEP Technology Architect with 10 to 12 years of experience to join our team. Cognizant’s Enterprise Platform Services (EPS) helps clients across industries reinvent their digital CX, attract and retain an outstanding workforce, engage their partner ecosystems more productively and run their operations and financial organizations more efficiently. As part of the team, you will be working alongside forward-thinking minds, building a simpler, modernized landscape helping customers transform their business, achieve key business goals, and win in the digital economy! Role: AEP Architect Location: Remote, USA Experience: 12+ Years Salary and Other Compensation: The annual salary for this position is between $120,000/Year to $160,000/Year depending on the experience and other qualifications of the candidate. This position is also eligible for Cognizant’s discretionary annual incentive program and stock awards, based on performance and subject to the terms of Cognizant’s applicable plans. Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements: Medical/Dental/Vision/Life Insurance • Paid holidays plus Paid Time Off • 401(k) plan and contributions • Long-term/Short-term Disability • Paid Parental Leave • Employee Stock Purchase Plan Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law. Role- We are seeking a highly skilled Technology Architect with 10 to 13 years of experience to join our team. The ideal candidate will have expertise in AEP Customer Journey Analytics AEP Adobe Journey Optimiser and AEP RTCDP. Job Summary Lead the end-to-end blueprints and solutions for (not limited to) Adobe Experience Platform (AEP) implementations including Real-Time Customer Data Platform (RTCDP) Adobe Journey Optimizer and Adobe Customer Journey Analytics. Provide thought leadership and guidance to business teams including best practices for customer data platforms and journey orchestration Lead client workshops and presentations articulating solution capabilities and benefits to technical and non-technical stakeholders. Beneficial: Business practitioner certifications for RT-CDP AJO or CJA Responsibilities Lead the design and implementation of technology solutions that leverage AEP Customer Journey Analytics to enhance customer experiences.Oversee the integration of AEP Adobe Journey Optimiser to streamline and personalize customer interactions.Provide technical expertise in AEP RTCDP to ensure real-time data processing and decision-making capabilities.Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.Develop and maintain documentation for technology architectures ensuring clarity and accessibility for all stakeholders.Conduct regular assessments of technology solutions to identify areas for improvement and optimization.Mentor and guide junior team members fostering a culture of continuous learning and development.Work closely with the claims and payer teams to ensure seamless integration of technology solutions with existing processes.Provide technical support and troubleshooting for implemented solutions ensuring minimal downtime and disruption.Stay updated with the latest advancements in AEP technologies and incorporate relevant innovations into the architecture.Facilitate workshops and training sessions to educate stakeholders on the benefits and functionalities of the implemented solutions.Drive the adoption of best practices in technology architecture and solution design. Qualifications Possess a deep understanding of AEP Customer Journey Analytics and its application in enhancing customer experiences.Demonstrate expertise in AEP Adobe Journey Optimiser and its role in personalizing customer interactions.Have extensive experience with AEP RTCDP and its capabilities in real-time data processing. Certifications Required Adobe Certification

ADVANCING OUR OPERATIONSIn order for us to complete our missions, our technology simply cannot fail. Covering a wide range of specialties ranging from aeronautical and computer systems to flight test and mechanical, Developmental Engineers provide advanced skill and knowledge of their particular specialties. Responsible for everything from the planning to implementation of their projects, these experts are essential to the success of operations all over the world.REQUIREMENTSYou must meet several requirements before joining the Air Force. These concern your background, overall health and other standards set by the Air Force, Department of Defense and federal law.Minimum EducationBachelor’s degree in engineering related to one of the following specialties: aerospace, aeronautical, astronautical, computer, electrical, electronics, communication or mechanicalQualificationsCompletion of the Defence Acquisition UniversityFundamentals of SystemsAcquisition Management course or Acquisition Fundamentals courseCompletion of the Air Force Flight Test Engineer course or comparableMinimum of 24 months of experience in qualified position or a master’s degree in a specified discipline and 12 months’ experience or a Doctor of Philosophy degree in a specified disciplineCompletionof Officer Training School (OTS), AirForce Academy (AFA) or AirForce Reserve Officer Training Corps (AFROTC)Must be between the ages of 18 and have not reached your 42ndbirthday

Overview: GovCIO is currently hiring for telecommunications engineerto provide deployment support to our federal customer. This position will be located in San Francisco, CA and will be an onsite position. Responsibilities: Performs a variety of electronic and technical assignments on data communications equipment and systems. Completes terminal troubleshooting using appropriate diagnostic equipment. Installs terminals, controllers, and test equipment and restores nonworking lines and/or equipment to working condition. Maintains liaison with outside vendors and orders circuits and/or equipment as required. Requires knowledge of specific modems, test equipment, and terminal configuration. May develop recommendations for the combined usage of data processing and telephone system hardware and software.Conducts site surveys and meets contacts like clients, construction crew members, utility company personnel, and people from other departments within the Company.Installs, moves, and modifies telecommunications and related equipment according to job order specifications, standards, and procedures.Undertakes telecommunications systems upgrade and answers queries related to system controls, and maintenance of the system in general.Diagnoses equipment malfunctions. Maintains and repairs telecommunications systems and equipment according to manufacturer recommendations and specifications.Reports and monitors service order changes.Be responsible for general local video operations and maintenance support as part of normal IT site support duties. This task does not include designing, engineering, specifying or acquiring video equipment. This support shall include basic troubleshooting of system problems and repairs, when they are identified by enterprise video support staff.Work with enterprise level voice and video engineers and technicians to conduct more detailed remote troubleshooting and repairs.Assist in setting up presentation devices and Video Conference units and provide basic troubleshooting support as needed. This includes ensuring functionality, being available for events, and shutting down video conferences.Perform local voice operations and maintenance support related to videoteleconferences. This support shall include basic troubleshooting of system problems and repairs whenthey are indicated by enterprise voice support staff. This task does not include designing, engineering,specifying or acquiring voice communications equipment. Qualifications: High School with 0-3 years (or commensurate experience)Understand the purpose of these technologies and have some experience with them, or with equivalent technologies:Cisco IP audio and video enpoints, Unified Call Manager (CUCM), Expressway Meeting Server (CMS), Meeting Management (CMM), Telepresence Management Suite (TMS), Prime, and Identify Services Engine.Broadsoft CloudMicrosoft System Center Configuration Manager (SCCM)Avaya technologies including audio/video components, Communicator, One-X, Application Enablement Server (AES), and the following at version 6.0 or above: Communications Manager, Session/System Manager, and Aura Messaging.Polycom DMA, Real Presence, and endpointsSolarwindsSplunk (syslog)CyberArkICAM / Single Sign On methodologies (SSO) / CertificatesInfoBlox / AkamaiSIP routing, dial pattern and number translations, E.164 routing, PRI as well as standards-based codecs, to include codecs from Cisco and PolycomVideo Conferencing Services (VCS) infrastructureUnified Communications and Video conferencing, including but not limited to: Cisco Unified Communications Manager, Unity Connection, TEAMS, UCCX, Expressways, Jabber Client, SIP, H.323, and QoSSession Border Controllers (SBC), Cisco Unified Border Elements (CUBEs)Preferred Skills and ExperienceCCNA or aboveClearance required: Must be able to obtain and hold a public trust clearance. Company Overview: GovCIO is a team of transformers--people who are passionate about transforming government IT. Every day, we make a positive impact by delivering innovative IT services and solutions that improve how government agencies operate and serve our citizens.But we can't do it alone. We need great people to help us do great things - for our customers, our culture, and our ability to attract other great people. We are changing the face of government IT and building a workforce that fuels this mission. Are you ready to be a transformer We are an Equal Opportunity Employer.All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, disability, or status as a protected veteran. EOE, including disability/vets. Posted Pay RangeThe posted pay range, if referenced, reflects the range expected for this position at the commencement of employment, however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, education, experience, and internal equity. The total compensation package for this position may also include other compensation elements, to be discussed during the hiring process. If hired, employee will be in an “at-will position” and the GovCIO reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, GovCIO or individual department/team performance, and market factors. Posted Salary Range: USD $70,000.00 - USD $70,000.00 /Yr.

In our ‘always on’ world, we believe it’s essential to have a genuine connection with the work you do.RUCKUS Networks Leads The Wi-Fi 7 Revolution With The R770 Access Point.Wefocus on delivering cutting-edge solutions to create a smarter, simpler, more connected world. At the heart of global connectivity are the engineers who write innovative software for our award-winning routing and switching products to bring the information quickly and reliably where needed. We are a pioneer in the wireless infrastructure market, enabling carriers and enterprises to stay ahead of the exploding demand for high-bandwidth applications and services Our RUCKUS Smart Wi-Fi, LTE, and Switching technology redefines what’s possible in wireless network performance with flexibility, reliability, and affordability.Ruckus delivers innovative solutions to the most critical issues facing today’s wireless networks: how to create affordable reliability and how to manage exponential growth. It's what we do. It's in our DNA.We are looking for an experienced engineer with high-speed hardware design expertise to join our team!How You'll help us connect the world:As a member of the Ruckus Wireless engineering team, you will be responsible for system- and board-level design of RF subcircuits based on various wireless industry standards. You will work closely with the broader Engineering team, consisting of Electrical, Mechanical and Software Engineers.Responsibilities:Design, bring-up Wi-Fi AP products and accessories.Debug and validate Wi-fi AP designs.Investigate, present, and evaluate new hardware solutions and/or PoC.Review and evaluate designs of outsourced projects.Work with RF team and Antenna team to integrate designs and validate designs together.Generate necessary documents for all categories listed above, such as PoC, PRD, HRD, HWFS, BOM, test plan, FA reportSupport compliance testing.Sustain legacy products.Required qualifications:Minimum BSEE with 5+ years of relevant experience in high-speed digital hardware design.Must have experience in all aspects of hardware design including schematics capture, PCB layout constraint, DFM implementation, bring-up and design validations.Must have experience in common interfaces, PCIe, 10GE, DDR4, SPI, I2C, USB, UART...Excellent knowledge of SI and PI for high-speed designs.Excellent knowledge of DC/DC switching power supply including PoE PSE and PD.Strong proficiency in OrCAD, Allegro, Arena, Ms office.Familiarity with design for compliance/regulatory testing.Familiarity with lab equipment, logic analyzer, oscilloscope, Sifos PoE tester, thermal chamberGood communication skills and be able to work with all cross-function teams. Ability to proactively lead the whole design from scratch to product.You'll excite us if you have:Basic knowledge of RF and antenna.Familiarity with main Wi-Fi SOC in the industry, like Qualcomm or Broadcom, is a big plus.Ability to manage the 3rd party for souring components, design and/or design reviews.Experience in ODM, JDM design and contractor manufacture.#LI-RB1THIS IS HYBRID OPPORTUNITY. LOCAL CANDIDATES ONLY AND NO THIRD PARTY AGENCIES PLEASE.Our salary ranges consider various factors, including but not limited to benchmarking by independent third-party consultants, skills, years of experience, training, education, geography, and other business needs. Depending on experience, the range can be higher for candidates with outstanding experience and a demonstrated history of successful performance. This position's expected total compensation (base salary and commission range) is $135,000.00 -$190,000.00What happens after you apply Learn how to prepare yourself for the next steps in our hiring process by visiting https://careers.commscope.com/how-we-hire.Why CommScope CommScope is on a quest to deliver connectivity that empowers how we live, work, and learn.Our employees push the boundaries of communications technology that enables game-changing discoveries like 5G, the Internet of Things, and gigabit speeds for everyone, everywhere.With our unmatched expertise in copper, fiber, and wireless infrastructure, our global clients rely on us to outperform today and be ready for the needs of tomorrow. If you want to grow your career alongside bright, passionate, and caring people who strive to create what's next..come connect to your future at CommScope. CommScope is an Equal Opportunity Employer (EEO), including people with disabilities and veterans. If you are seeking an accommodation for the application or interview process, please contact us to submit your request at . You can also learn more about CommScope’s accommodation process and EEO policy athttps://jobs.commscope.com/eeo

Come be a part of new process technology adoption by joining NVIDIA's Advanced Technology Group! Work as part of the advanced technology team to optimize design tradeoffs and methodology on next generation CMOS technology. We are looking for a Senior DFT Engineer to join our dynamic and growing team! If you are problem solver and highly motivated individual searching for a collaborative and exciting role, join us today. We encourage applicants with a history of proven success working in a multicultural and diverse environment.NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities which are hard to solve, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human inventiveness and intelligence.What you'll be doing:You will be responsible for all aspects of testing including methodology, logic insertion, verification, test pattern generation, test program bring-up, and complex debug/FA to resolve any issues.Finding the right tradeoffs between test time and the ability to collect necessary data to monitor the health of next generation process nodes.Work as part of the team to design and tapeout advanced packaging vehicles.What we need to see:Hold a BS in Electrical or Computer Engineering or equivalent experience.8+ years experience in design for test.In-depth knowledge of various test architectures including IEEE1149.1, IEEE1500, SSN scan compression, IOBIST, and memory BIST.Expertise in design verification and pattern generation. This includes developing new flows and enhancing existing flows.Experience in doing ATE test program development and bring-up including specing custom test methods needed for data collection.Hands-on knowledge of industry standard DFT EDA tools.Proficiency in programming and scripting languages, such as Python, TCL, and Perl.Ways to stand out from the crowd:Experience with DDR and HBM high speed I/O testing.Hands on experience with failure analysis equipment like LVP, photon emission, and ebeam probing.Proficiency with Advantest 93k testers.NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and talented people in the world working for us. If you're creative and autonomous, we want to hear from you.The base salary range is 164,000 USD - 304,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA is looking to hire a Senior Distributed Acceleration Engineer to work on RAPIDS, a suite of open-source software libraries that accelerates end-to-end data science and analytics pipelines on GPUs. RAPIDS relies on NVIDIA CUDA for low-level compute optimization but exposes high-performance GPU computing through user-friendly Python interfaces. We’re rapidly growing the team passionate about building and optimizing how RAPIDS can leverage multiple GPUs for distributed execution. The team’s charter is to explore, develop, and architect multi-GPU engines for RAPIDS (GPU ETL, ML) based workflows with an emphasis on single-node multi-GPU configurations.In this role, you will develop, benchmark, and explore novel tuned custom solutions, as well as existing open-source engines, like Dask, Ray, Spark, and more, which can achieve high-performance goals for multi-GPU workloads. This is a great chance to take advantage of your distributed systems knowledge, CUDA C++, and Python programming skills. You’ll work closely with the RAPIDS group of stellar engineers building highly optimized multi-GPU CUDA libraries.What you'll be doing:Analyze, design, and implement optimized GPU algorithms for large-scale data analytics and machine learningArchitect and implement distributed GPU algorithms for dense multi-GPU single-node machines and more generally for multi-GPU multi-node environmentsExpand and improve integration of RAPIDS into relevant high-level frameworksDrive performance analysis, benchmarking, and troubleshooting of associated libraries.Collaborate with a multi-functional team to understand requirements and implement or improve solutionsWhat we need to see:MS or PhD in Computer Science, Computer Engineering or Electrical Engineering or related field in Deep Learning, Machine Learning, and Computer Vision or equivalent experience.5+ years of proven experience in Computer Science, Artificial Intelligence, Applied Math, or related fieldStrong analytical problem-solving skills, algorithms, and mathematics fundamentals.Distributed System experience and developmentExcellent software development skills: programming, debugging, performance analysis, and test designGood communication and documentation habits.Ability to work independently and manage your own development efforts.Ways to stand out from the crowd:Experience developing distributed algorithms and running on distributed systems: HPC, Cloud, etcExperience with debugging multi-language and multi-hardware systemsExperience with the PyData Stack: NumPy, Pandas, Scikit-Learn, Dask,Prior work on open-source projectsGPU programming knowledge is a plus, but if you don’t have it, we’re happy to teach youWith a competitive salary package and benefits, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous Distributed Acceleration Engineer, who loves challenges Do you have a genuine passion for advancing the state of GPU and CPU across a variety of industries If so, we want to hear from you.NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA continuously looks for great people like you to help us accelerate the next wave of accelerated computing.The base salary range is 148,000 USD - 276,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.#deeplearning

We're now looking for a Senior Deep Learning Software Engineer for our cuDNN team!Do you love writing fast code and crafting software systems to solve complex problems We are looking for hardworking software engineers to help design, build, and ship cuDNN: our GPU-accelerated library of primitives for deep neural networks. Intelligent machines powered by AI computers that can learn, reason, and interact with people are no longer science fiction. This is truly an extraordinary time. The era of AI has begun, and we are powering it. If this role seems like a good match for your skills and interests, tell us why you think you might be a great fit for our team, and we'd love to tell you more about what we do!What you’ll be doing:Develop production-quality software that ships as part of NVIDIA's AI software stack, including cutting edge large language model support.Analyze the performance of important workloads, tuning our current software, and proposing improvements for future software.Work with cross-collaborative teams of deep learning software engineers and GPU architects to innovate across applications like large language models, autonomous driving, computer vision, and recommender systems.Adapt to the constantly evolving AI industry by being agile and excited to contribute across the codebase, including API design, software architecture, testing, and GPU kernel development.Mentoring junior engineers on the team.What we need to see:M.S. Degree in Computer Science, Electrical Engineering (or similar), or equivalent experience.4+ years of relevant work or research experience.Strong programming skills in C/C++ development, work experience with CUDA development, and familiarity with Python.Good understanding of linear algebra.Familiarity with the latest trends in machine learning, especially in large language models.Experience designing high level software architecture.Excellent problem solving skills, including applications of algorithms and data structures.Experience with performance analysis, profiling, and code optimization.Ability to work independently, define project goals and scope, and lead your own development effort.Ways to stand out from the crowd:GPU programming and optimization expertise (e.g. CUDA or OpenCL).Practical experience with machine learning, especially deep learning.Strong Experience with data science, statistical analysis, and visualization.Previous work on large complex codebases with many other developers, especially libraries, compilers, or system software.Track record of identifying new technologies and incorporating them into software development flows.The base salary range is 180,000 USD - 339,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Our technology has no boundaries! NVIDIA is building the world’s most groundbreaking and state of the art compute platforms for the world to use. It’s because of our work that scientists, researchers and engineers can advance their ideas. At its core, our visual computing technology not only enables an amazing computing experience, but it is also energy efficient! We pioneered a supercharged form of computing loved by the most demanding users in the world - scientists, designers, artists, and gamers. It’s not just technology though! It is our people, some of the brightest in the world, and our company culture make NVIDIA one of the most fun, innovative and multifaceted places to work in the world! At the center of NVIDIA's culture are our core values like innovation, excellence and determination and team, which guide us to be the best we can be.We are building a team who will be developing a system aimed at 5G wireless products based on the power of our GPU. Enabling 5G PHY/MAC layers, we will be using traditional signal processing algorithms but parallelizing them on the GPU. We also plan to apply Machine Learning / Deep Learning to address PHY/MAC challenges. We are looking for a motivated and energetic senior member to take a strategic role in the architecture and the entire software product development life cycle.What you'll be doing:As a member of Aerial Sim Team you will craft and implement innovative simulation environments (e.g., digital twins using Nvidia’s Omniverse) for Nvidia’s 5G vRAN stack.Work with 5G standardization delegates, 5G systems leads, ML researchers applying AI to 5G.Collaborate with Nvidia’s CUDA group to build the simulation tools vital to create, standardize and deploy tomorrow’s cellular networks.Work closely with the other groups in NVIDIA such as Omniverse teams to deliver a complete simulation capability.What we need to see:BS/MS in a relevant field or equivalent experience.10+ years’ experience or PhD with 5+ years’ experience or equivalent.Track record in the field of crafting, implementing and performing multi-cell system-level simulators, e.g., for quantifying the impact on system spectral efficiency of key choices at PHY and MAC level.Experience with signal processing at the PHY layer or resource allocation optimization at MAC level.Knowledge of channel modelling, microwave/mmwave EM propagation, CPU and GPU computing architecture key aspects.Must have experience in C/C++, Python and shell scripting.Run large multi-language software code bases.Ways to stand out from the crowd:Experience with digital twins, or site-specific channel models based on ray-tracing and high-frequency EM frameworks.Attention to detail and an appetite to learn about the simulation of wireless networks at outstanding scales and accuracies.Strong communication and collaborative skills.With competitive salaries and a generous benefits package (www.nvidiabenefits.com), we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you!The base salary range is 180,000 USD - 339,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

We’re currently seeking a Senior Developer Technology Engineer, Artificial IntelligenceWould you enjoy researching parallel algorithms to accelerate AI workloads on advanced computer architectures Is it rewarding to investigate, find, and eliminate system bottlenecks to achieve the best possible performance of computer hardware Could you be thrilled about an opportunity to partner with the Developer community, working at the forefront of technology breakthroughs that contribute to the success of an industry leader like NVIDIA If so, the Developer Technology Team invites you to consider this role.What you will be doing:In this position, you will research and develop techniques to GPU accelerate workloads in deep learning, machine learning or other AI domains.Work directly with other technical experts in their fields (industry and academia) to perform in-depth analysis and optimization of complex AI and HPC algorithms to ensure the best possible AI solutions on modern CPU and GPU architectures.Publish and present discovered optimization techniques in developer blogs or relevant conferences to engage and educate the Developer community.Influence the design of next-generation hardware architectures, software, and programming models in collaboration with research, hardware, system software, libraries, and tools teams at NVIDIA.What we need to see:A Masters degree in Computer Science, Computer Engineering, or related computationally focused science degree (or additional equivalent experience).You have 8+ years of relevant work experience or research.Programming fluency in C/C++ with a deep understanding of algorithms and software development.A background that includes parallel programming, e.g., CUDA, OpenACC, OpenMP, MPI, pthreads, etc.Hands on experience doing low-level performance optimizations.In-depth expertise with CPU and GPU architecture fundamentals.Good communication and organization skills, with a logical approach to problem solving, and prioritization skills.Ways to stand out from the crowd:Expertise in parallelization and performance optimization of Deep Learning models arising from Natural Language Processing, Computer Vision, Recommender Systems, etc.Excellent understanding of linear algebra.NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous computer scientist with a genuine passion for parallel computing If so, we want to hear from you. Come, join our AI Compute DevTech team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.The base salary range is 180,000 USD - 339,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA is hiring senior software engineers to build and optimize the tools Deep Learning engineers use across the world to design, develop, and deploy AI applications. We are an ambitious, forward-thinking and diverse team that influences all areas of NVIDIA's AI platform and directly contributes to premiere Deep Learning frameworks - PyTorch, JAX and TensorFlow. We work with multiple teams both inside and outside of NVIDIA across fields, as well as collaborate with the open-source community to optimize the best AI platform in the world!What you will be doing:Develop and optimize open-source libraries, like Transformer Engine, which enables the fastest training of Large Language Models using low precision data formats, and TensorFlow Distributed Embeddings, providing ability to easily scale training of huge recommender systems on multiple GPUs.Study and tune Deep Learning training workloads at large scale, including important enterprise models.Build and support NVIDIA submissions to community benchmarks like MLPerf.Optimize the performance of influential, modern Deep Learning models coming out of academic and industry research, for NVIDIA GPUs and systems.Explore new technologies and advise design of new hardware generations and core platform software components.What we need to see:BS in Computer Science, Electrical Engineering or a related field (or equivalent experience).Demonstrated ability with 6+ years of C++ and Python programming.Strong background with parallel programming, preferably on GPUs.Knowledge of Computer Architecture and/or Operating Systems.Proven experience developing large software projects.Excellent verbal and written communication skills.Ways to stand out from the crowd:Experience with Deep Learning Frameworks, like PyTorch, JAX, Tensorflow or MXNet.Experience training language models.Background with performance analysis and profiling of workloads.Participation in the open-source community.Proven experience working with multidisciplinary teams.The base salary range is 180,000 USD - 339,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.#deeplearning

We are now looking for a Senior Power Architecture and Optimization Engineer! NVIDIA prides ourselves in having energy efficient products. We believe that continuing to maintain our products' energy efficiency compared to competition is key to our continued success.Our team is responsible for analyzing fullchip and unit-level power data, and driving ASIC teams to improve their units’ power efficiency; and is responsible for researching, developing, and deploying methodologies to help NVIDIA's products become more energy efficient. Key responsibilities include developing techniques to model, analyze, and reduce power consumption of NVIDIA GPUs. As a member of this team, you will collaborate with Architects, Performance Engineers, Software Engineers, ASIC Design Engineers, and Physical Design teams to study and implement power analysis and reduction techniques for NVIDIA's next generation GPUs and Tegra SOCs. Your contributions will help us gain early insight into energy consumption of graphics and artificial intelligence workloads, and will allow us to influence architectural, design, and power management improvements.What You'll Be Doing:Use internally developed tools and industry standard pre-silicon gate-level and RTL power analysis tools, to help improve product power efficiency.Develop and share best practices for performing pre-silicon power analysis.Perform comparative power analysis, to spot trends and anomalies, that warrant more scrutiny.Interact with architects and RTL designers to help them interpret their power data and identify power bugs; drive them to implement fixes.Select and run a wide variety of workloads for power analysis.Prototype a new architectural feature in Verilog and analyze power.Automate flows, define new flows to fast-track Power anomaly detection.Use AI to come up with Power optimization solutions. What We Need To See:MS (or equivalent experience) with 3+ years of experience or PhD in related fields.Strong understanding of concepts of energy consumption, estimation, data movement and low power design.Familiarity with Verilog and ASIC design principles, including knowledge of Power Artist, PTPX (Prime Power RTL, RTL Architect).Good verbal/written English and interpersonal skills; much collaboration with design teams is expected.Strong coding/automation skills, preferably in Python, Perl, and C++.Desire to bring data-driven decision-making and analytics to improve our products.The base salary range is 128,000 USD - 258,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

We are hiring senior engineers to work on the CUDA driver and runtime, core components of our platform for accelerating general purpose computation on the GPU. Our team analyzes performance of applications, investigates bottlenecks in software or hardware and delivers features and improvements to better realize the potential of NVIDIA hardware for a growing range of computational workloads, ranging from deep learning, scientific computation, and self-driving cars to video games and virtual reality.CUDA defines a unified programming model across a range of system configurations and hardware capabilities. To accomplish this, the CUDA driver interacts with GPU hardware, kernel mode drivers, and the operating system.What you'll be doing:As a member of our team, you will use your design abilities, coding expertise, and creativity to deliver the best compute platform in the world. You will craft elegant solutions to exciting problems and craft the future direction of CUDA as you collaborate with your peers across NVIDIA. You will investigate complex performance problems and deliver robust solutions that accelerate applications.Evangelize, architect, and implement new featuresOversee and drive development efforts across multiple teamsAnalyze full stack performance ranging from application level through libraries, system software, kernel software and hardwareDefine forward-looking improvements to the CUDA APIs and programming modelCreate novel system software optimizationsWrite effective, maintainable, and well-tested codeDevelop code for multiple operating systemsWhat we need to see:BS or MS degree in Computer Science, Electrical Engineering (or equivalent experience)5+ years of related development experienceStrong C programming skillsExperience working with large codebasesTrack record of debugging performance problems in complex environments with software and hardware componentsExperience with operating system interfaces for threads, process control, and virtual memoryExperience writing and debugging multithreaded programsDeep understanding of technology and passionate about what you doStrong collaborative and interpersonal skills, specifically a proven ability to effectively guide and influence within a dynamic matrix environment. Good written communication.Ways to stand out from the crowd:Understanding of system level architecture, such as interconnects, memory hierarchy, interrupts, and memory-mapped IOExperience with performance tuning of device drivers or low level system softwareExperience with performance optimizations across a variety of CPU architectures - like x86, POWER and ARMKnowledge of memory coherence and consistency modelsExperience with Windows, Linux, or macOS driver developmentNVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and hardworking people in the world working for us. If you're creative and autonomous, and are interested in working on novel problems in a collaborative environment, we want to hear from you!The base salary range is 148,000 USD - 276,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 30 years. It’s a unique legacy of innovation that’s fueled by great technologyand amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing, an era in which our GPUs serve as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work.The Robotics Software team builds the NVIDIA Isaac platform, powering countless robots around the world. A growing focus is advanced manipulation guided by cameras or other sensors, where accelerated computing is revolutionizing manufacturing, logistics, and any application where a robot must interact with the physical world.We are now looking for a Robotics Software Engineer to join the team!What you'll be doing:Building the next generation of NVIDIA cuMotion, empowering robot arms to move at unprecedented speeds even in cluttered environments.Crafting robust and performant implementations of motion generation algorithms that you invent in collaboration with creative researchers and engineers.Refining, training, and testing control schemes in simulation and on physical robots.Working with an outstanding team of robotics software engineers to deliver the technology you develop to leading companies and researchers, including as open-source software.What we need to see:BS, MS, or PhD degree in Computer Science or a related field, or equivalent experience.You have 5+ years of experience developing optimized implementations of numerical or geometric algorithms, preferably in an industry setting.You’re proficient in modern C++ and Python.Prior research or projects related to motion planning and control, simulation, or a related area.You're self-motivated and willing to work with a distributed team to break new ground.Ways to stand out from the crowd:Possess a passion for robotics and building production software.Experience with ROS 2, including ros2_control and MoveIt 2.Additional expertise in machine learning, computer vision, physics simulation, or computer graphics.Experience with parallel programming and especially CUDA C++.You are comfortable working in multifaceted and ever-evolving environments.The base salary range is 148,000 USD - 276,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

We are now looking for a Senior Performance Software Engineer for Deep Learning Libraries! Do you enjoy tuning parallel algorithms and analyzing their performance If so, we want to hear from you! As a deep learning library performance software engineer, you will be developing optimized code to accelerate linear algebra and deep learning operations on NVIDIA GPUs. The team delivers high-performance code to NVIDIA’scuDNN,cuBLAS, andTensorRTlibraries to accelerate deep learning models. The team is proud to play an integral part in enabling the breakthroughs in domains such as image classification, speech recognition, and natural language processing. Join the team that is building the underlying software used across the world to power the revolution in artificial intelligence! We’re always striving for peak GPU efficiency on current and future-generation GPUs. To get a sense of the code we write, check out ourCUTLASS open-source project showcasing performant matrix multiply on NVIDIA’sTensor Cores with CUDA. This specific position primarily deals with code lower in the deep learning software stack, right down to the GPU HW.What you'll be doing:Writing highly tuned compute kernels, mostly in C++ CUDA, to perform core deep learning operations (e.g. matrix multiplies, convolutions, normalizations)Following general software engineering best practices including support for regression testing and CI/CD flowsCollaborating with teams across NVIDIA:CUDA compiler team on generating optimal assembly codeDeep learning training and inference performance teams on which layers require optimizationHardware and architecture teams on the programming model for new deep learning hardware featuresWhat we need to see:Masters or PhD degree or equivalent experience in Computer Science, Computer Engineering, Applied Math, or related field6+ years of relevant industry experienceDemonstrated strong C++ programming and software design skills, including debugging, performance analysis, and test designExperience with performance-oriented parallel programming, even if it’s not on GPUs (e.g. with OpenMP or pthreads)Solid understanding of computer architecture and some experience with assembly programmingWays to stand out from the crowd:Tuning BLAS or deep learning library kernel codeCUDA/OpenCL GPU programmingNumerical methods and linear algebraLLVM, TVM tensor expressions, or TensorFlow MLIRNVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hard working people in the world working for us. If you're creative, autonomous, and love a challenge, consider joining our Deep Learning Library team and help us build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.The base salary range is 180,000 USD - 339,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.#deeplearning

NVIDIA is a world-leader in high speed computer vision, artificial intelligence, and deep learning. Our team builds the accelerated software ecosystem that enables visual AI developers to innovate swiftly and efficiently at scale.We are now looking for an outstanding CUDA developer to build developer-facing libraries and services that will accelerate the development of autonomous vehicles, humanoid robots, XR, and manufacturing. The right candidate will combine deep experience with the 3D application domain with strong collaboration and passion for efficient, well-crafted software. Looking for a chance to make gaussian splatting, NERFs, and more run exceptionally fast on enormous volumes of data This could be it!What you'll be doing:Partner with research and product teams to identify common requirements, consolidate our best 3D software and algorithms, and productize solutions.Implement and improve point cloud, voxel, neural rendering (NERF, Gaussian Splatting) and other computer vision algorithms using CUDA.Establish and drive product-critical performance and quality metrics.Profile, debug, and optimize multi-petabyte computer vision workloads for efficiency, latency, and throughput.Contribute to large codebases combining custom C++ and Python with distributed architectures (microservices, Kubernetes, Triton) to deliver computer vision at scale.What we need to see:Master's of Science in Computer Science, Electrical engineering, or Physics or equivalent experience.10+ years of practical experienceExcellent software engineering fundamentals (source control, CI/CD, testing/validation, packaging, containerization, release). Proven track record developing, testing and releasing production-grade, complex software.Proficiency with C++, CUDA, and PythonBroad experience building 3D computer vision libraries and applications.Strong fundamentals with multi-threaded and distributed software development.Grounding in mathematics including linear algebra, numerical methods, statistics, and exploratory data analysis.Pragmatism to efficiently bring meaningful products to market and persistence to improve them over time.Strong collaboration skills to partner with researchers, application developers, and infrastructure and MLOps teams.Ability and desire to learn new technologies.Ways to Stand Out from the Crowd:Familiarity with common deep learning frameworks such as PyTorch, OnnxRT, or JAXCurrent with the latest work in Gaussian Splatting and NERF. Armed with opinions and insight on how to combine these approaches with classic computer vision and graphics methods for outstanding results.Experience with 3d graphics and ray tracingHistory of creativity and innovation around computer vision including patents and publications#LI-HybridThe base salary range is 220,000 USD - 419,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.